Statistics Case study

Use the textbook and the class notes to help understand the output contained herein and to understand and answer the questions at the end of this case study . This Lab is due next class

The four variables shown in the data set below are set up to represent a fictitious study of gender , weight and fitness score . The variables include gender , ranking , weight and score . In this example , gender is coded as M or F (recoded as 1 or 2 for computations , weight is the

br participant 's weight , score is a value that the participant scored in a fitness test and rank is their ranking based on that score

YOUR TURN : Using the values from the GENDER variable in table above answer the following questions

1 . What type of data does gender represent (Quantitative or Qualitative

Answer : Qualitative

2 . What does the mean gender of 1 .40 tell us

Answer : This tells us that there are more males (recorded as 1 ) than females (recorded as 2 ) in the sample . The mean shifts towards the values of variable with higher frequency . Had the number of males and females been equal in the sample the value of mean would have been 1 .5 and for more females the value would have been more than 1 .5

3 . What would be the appropriate measure of center (mean , median , and mode ) for GENDER

Answer : The most appropriate measure of centre will be mean

4 . What is the value for measure of center

Answer : The value for measure of center is 1 .4

YOUR TURN Using the values from the RANKING variable in table above answer the following questions

5 . What type of data does RANKING represent (Quantitative or Qualitative

Answer : Quantitative

6 . What is the appropriate measure of center

Answer : Either of mean or median will serve as appropriate measure of center